code: def main(args):
      def extract(gz_path):
          logging.warning(
              f"Extracting {gz_path}, this can cost long time because the file is large"
          )
          try:
              f_name = gz_path.replace(".gz", "")
              g_file = gzip.GzipFile(gz_path)
              open(f_name, "wb+").write(g_file.read())
              g_file.close()
              os.remove(gz_path)
          except Exception as e:
              print(e)
  
      if not os.path.exists(args.save_path):
          os.makedirs(args.save_path)
  
      for url in _URLS.values():
          file_name = url[url.rfind("/") + 1 :]
          file_hash = _URL_FILE_STATS[url]
          download(
              url,
              path=os.path.join(args.cache_path, file_name),
              sha1_hash=file_hash,
          )
          if not os.path.exists(
              os.path.join(args.save_path, file_name)
          ) or (args.overwrite and args.save_path != args.cache_path):
              os.symlink(
                  os.path.join(args.cache_path, file_name),
                  os.path.join(args.save_path, file_name),
              )
          if args.extract:
              extract(os.path.join(args.save_path, file_name))
  
file_path: gluon-nlp/scripts/datasets/question_answering/prepare_naturalquestions.py
imports: import logging
  import os
  import argparse
  import ast
  import gzip
  from gluonnlp.utils.misc import download, load_checksum_stats
  from gluonnlp.base import get_data_home_dir, get_repo_url
label_desc: Use image node_id 2 for calling a global function with example usage: main(args) without return types